Advertisement

Artificial Intelligence Today

Recent Trends and Developments

  • Michael J. Wooldridge
  • Manuela Veloso

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1600)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1600)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Ruth Aylett
    Pages 1-11
  3. Franz Baader
    Pages 13-41
  4. Maria Paola Bonacina
    Pages 43-84
  5. Alan Bundy
    Pages 153-174
  6. P. Ciancarini, Robert Tolksdorf, F. Vitali
    Pages 175-193
  7. Clark Elliott, Jeff Rickel, James Lester
    Pages 195-211
  8. S. Parsons, O. Pettersson, A. Saffiotti, M. Wooldridge
    Pages 329-338
  9. Charles Petrie, Sigrid Goldmann, Andreas Raquet
    Pages 339-363
  10. Henry Prakken, Giovanni Sartor
    Pages 365-379
  11. Alessandro Saffiotti
    Pages 381-407
  12. Murray Shanahan
    Pages 409-430
  13. Daniel Thalmann, Hansrudi Noser
    Pages 457-471
  14. Back Matter
    Pages 489-489

About this book

Introduction

Artificial Intelligence is one of the most fascinating and unusual areas of academic study to have emerged this century. For some, AI is a true scientific discipline, that has made important and fundamental contributions to the use of computation for our understanding of nature and phenomena of the human mind; for others, AI is the black art of computer science.
Artificial Intelligence Today provides a showcase for the field of AI as it stands today. The editors invited contributions both from traditional subfields of AI, such as theorem proving, as well as from subfields that have emerged more recently, such as agents, AI and the Internet, or synthetic actors. The papers themselves are a mixture of more specialized research papers and authorative survey papers.
The secondary purpose of this book is to celebrate Springer-Verlag's Lecture Notes in Artificial Intelligence series.

Keywords

Bayesian network affective computing agents argumentation artificial intelligence automated deduction autonomous robot intelligence knowledge knowledge representation logic programming proving robot uncertainty virtual agent

Editors and affiliations

  • Michael J. Wooldridge
    • 1
  • Manuela Veloso
    • 2
  1. 1.Department of Electronic EngineeringQueen Mary and Westfield College, University of LondonLondonUK
  2. 2.Department of Computer ScienceCarnegie Mellon UniversityPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-48317-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66428-4
  • Online ISBN 978-3-540-48317-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site